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1–2 jobs· newest first

Technical Targeting AnalystNew
E-Infosol LLC · Chantilly, US
On-site · Full-time · Senior
Lead, AI Engineering (m/f/d)New
Bain & Company · Paris, France

+10K new in the last hour

Technical Targeting Analyst

E-Infosol LLC · Posted Nov 9, 2026

Chantilly, Virginia, United States
On-site
Full-time · Senior
10+ years

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The Technical Targeting Analyst serves as the principal authority for AI-enabled targeting methodologies, intelligence-driven data analysis, and the integration of advanced analytical capabilities across complex operational environments.

Responsibilities

Leverage artificial intelligence, machine learning, cyber intelligence, and large-scale data exploitation techniques to identify, assess, and develop actionable intelligence against high-priority threats.
Provide strategic leadership in analytic modernization, data-driven targeting, and cross-domain intelligence integration while ensuring ethical, secure, and effective use of emerging technologies.
Lead complex analytic efforts and advise senior stakeholders.
Develop intelligence products, targeting packages, and executive-level briefings.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline
Master’s degree in Intelligence, Data Science, Cybersecurity, Analytics, or related field preferred
Nice to have: Federal, defense, intelligence, or national security missions
Nice to have: Cyber threat intelligence
Nice to have: Network analysis

Skills

Advanced AI GenAI Multi-Model Engineering Named Entity Recognition (NER)Data Architecture & ETL Vector and graph databases Attribute Based Access Control (ABAC)Kubernetes TypeScript React Python FastAPI PostgreSQL Docker LanceDB lance graph Temporal.io AWS Microsoft Cisco

Benefits

Medical
Dental
Vision
Retirement Savings (401k) up to 4% match
Health Savings Account (HSA)

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Lead, AI Engineering (m/f/d)

Bain & Company · Posted Nov 5, 2026

Paris, Île-de-France, France
3+ years

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Lead AI Engineer responsible for designing, building, and shipping generative AI systems and agentic solutions for Bain’s clients.

Responsibilities

Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines such as Retrieval-Augmented Generation, fine-tuning, embedding generation, hybrid retrieval strategies, reasoning, tool use, and orchestration across AI workflows.
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration.
Contribute across the full stack: model experimentation, evaluation design, and production system deployment.
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability.

Requirements

Nice to have: French language proficiency at C1 level or higher
Nice to have: experience mentoring peers
Nice to have: experience with ReAct, RLAIF, and other HITL + feedback loops
Nice to have: experience with hybrid or graph-based retrieval approaches

Skills

software engineering

prompt engineering

context engineering

RAG architectures

vector-based retrieval

hybrid or graph-based retrieval

agentic patterns

memory management

multi-agent systems

orchestration frameworks

vector and graph databases

model and API ecosystems

production-grade deployment

cost and latency tradeoffs

client-facing consulting

enterprise transformation

See full job description